In this section, we provide a brief overview of the process of using DP to find the probability that the data belongs to each cluster.
In the case of a finite number of clusters, the prior distribution over the clusters is defined as [1]}
\(p(l^1, \cdots ,l^D | \omega )& = \frac{\Gamma (\omega )}{\Gamma (D+\omega )} \prod _{j=1}^J \frac{\Gamma (d^j+\omega /J)}{\Gamma (\omega /J)},\) 
